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Epidemiology (Cambridge, Mass.)|March 24, 2016
Sensitivity to Excluding Treatments in Network Meta-analysisLifeng Lin, Haitao Chu, James S HodgesStatistical Methods in Medical Research|November 2, 2022
Meta-analysis methods for risk difference: A comparison of different modelsJuanru Guo, Mengli Xiao, Haitao Chu, et al.Statistics in Medicine|June 5, 2020
The impact of covariance priors on arm-based Bayesian network meta-analyses with binary outcomesZhenxun Wang, Lifeng Lin, James S Hodges, et al.Journal of Statistical Software|September 9, 2017
Performing Arm-Based Network Meta-Analysis in R with the pcnetmeta PackageLifeng Lin, Jing Zhang, James S Hodges, et al.Statistics in Medicine|November 19, 2021
A penalization approach to random-effects meta-analysisYipeng Wang, Lifeng Lin, Christopher G Thompson, et al.BMJ Evidence-Based Medicine|April 14, 2018
The effect of publication bias magnitude and direction on the certainty in evidenceMohammad Hassan Murad, Haitao Chu, Lifeng Lin, et al.BMJ Evidence-Based Medicine|July 6, 2019
The magnitude of small-study effects in the <i>Cochrane Database of Systematic Reviews</i>: an empirical study of nearly 30 000 meta-analysesLifeng Lin, Linyu Shi, Haitao Chu, et al.Journal of Clinical Epidemiology|March 20, 2024
Hierarchical models that address measurement error are needed to evaluate the correlation between treatment effect and control group event rateM Hassan Murad, Haitao Chu, Zhen Wang, et al.Epidemiology (Cambridge, Mass.)|May 31, 2018
Performance of Between-study Heterogeneity Measures in the Cochrane LibraryXiaoyue Ma, Lifeng Lin, Zhiyong Qu, et al.Research Synthesis Methods|April 7, 2026
A novel visualization approach for network meta-analysis: The plate plot and the nmaplateplot R packageYanan Ren, Zhenxun Wang, Lifeng Lin, et al.Pageof 46